Overview

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the potential of advanced AI reasoning with this hands-on masterclass, focusing on the DeepSeek R1 and Ollama models. You’ll dive deep into the architecture, core capabilities, and real-world applications of these powerful tools, enabling you to develop your own AI applications from scratch. Learn to configure, install, and implement these models in various scenarios, all while honing your development skills. The course is structured to guide you through both conceptual and practical aspects. Starting with the fundamentals, you'll explore the DeepSeek R1’s design, capabilities, and model variations before learning how to deploy it effectively. We will introduce you to Ollama and show you how to integrate DeepSeek R1 with Ollama, culminating in real-world use cases such as document analysis, code assistance, and AI multi-agent systems. You'll be provided with hands-on examples and tutorials that give you the confidence to apply these skills in your projects. By the end of the course, you will have a deep understanding of how these models work, how to integrate them into your own AI projects, and how to leverage them to solve complex tasks. This journey will ensure you’re well-equipped with the skills needed for cutting-edge AI development and integration. This course is ideal for developers, data scientists, and AI enthusiasts who want to explore the latest in AI reasoning models and how to utilize them effectively in real-world applications. A solid grasp of basic programming and AI concepts is recommended, though the course covers the tools and setup you'll need. By the end of the course, you will be able to confidently set up DeepSeek R1 and Ollama in your development environment, create and integrate AI models in your projects, and build advanced applications such as code assistants and document analyzers.

Syllabus

Introduction

In this module, we will introduce you to the course, outlining its goals and what to expect throughout your learning journey. You’ll also explore the practical AI applications you will build and set up the development environment for hands-on experimentation. By the end of this section, you’ll be prepared to dive deeper into the course’s technical aspects.

DeepSeek R1 Fundamentals

In this module, we will provide an in-depth exploration of DeepSeek R1’s core architecture, its different model variations, and its unique capabilities. You’ll also learn the key differences between open and closed-source LLMs, helping you understand their respective strengths and trade-offs. By the end, you’ll have a clear understanding of DeepSeek’s technical foundations.

DeepSeek R1 and Ollama - Deep Dive

In this module, we will dive deeper into the hardware and installation considerations for DeepSeek R1 and Ollama. You’ll explore the DeepSeek Chatbox’s conversational capabilities and gain hands-on experience with model installation and configuration. By the end of this section, you’ll be ready to work with DeepSeek R1 and Ollama in a development environment.

DeepSeek R1 Local Development

In this module, we will cover the local development setup for DeepSeek R1, walking you through the integration process for practical applications. You’ll gain hands-on experience using the Ollama local API to run the DeepSeek R1 model in your own projects. By the end of this section, you’ll be able to integrate DeepSeek R1 seamlessly into your codebase.

Hands-on - Building AI Applications with R1 - Building Use-cases

In this module, we will build real-world AI applications using the DeepSeek R1 model. You’ll work on use-cases like the Document Analyzer and Code Assistant, gaining a hands-on understanding of how these tools function. Additionally, we’ll demonstrate the AI Multi-Assistant, showing how multiple AI agents collaborate to solve complex tasks. By the end, you’ll have practical experience in AI application development.

Final Thoughts and Wrap up

In this final module, we will summarize your learning journey, highlight your key achievements, and discuss the next steps to further your AI development. You’ll gain a clear understanding of how to continue applying the concepts from this course in real-world projects and further your expertise in the field.